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利用matplotlib实现根据实时数据动态更新图形

整理:jimmy2025/3/5浏览2
简介我就废话不多说了,直接上代码吧!from time import sleepfrom threading importThreadimport numpy as npimport matplotlib.pyplot as pltfrom matplotlib.widgets importBu

我就废话不多说了,直接上代码吧!

from time import sleep
from threading importThread
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets importButton
fig, ax = plt.subplots()
#设置图形显示位置
plt.subplots_adjust(bottom=0.2)
#实验数据
range_start, range_end, range_step =0,1,0.005
t = np.arange(range_start, range_end, range_step)
s = np.sin(4*np.pi*t)
l,= plt.plot(t, s, lw=2)
#自定义类,用来封装两个按钮的单击事件处理函数
classButtonHandler:
def __init__(self):
self.flag =True
self.range_s, self.range_e, self.range_step =0,1,0.005
#线程函数,用来更新数据并重新绘制图形
def threadStart(self):
while self.flag:
sleep(0.02)
self.range_s += self.range_step
self.range_e += self.range_step
t = np.arange(self.range_s, self.range_e, self.range_step)
ydata = np.sin(4*np.pi*t)
#更新数据
l.set_xdata(t-t[0])
l.set_ydata(ydata)
#重新绘制图形
plt.draw()
defStart(self, event):
self.flag =True
#创建并启动新线程
t =Thread(target=self.threadStart)
t.start()
defStop(self, event):
self.flag =False
callback =ButtonHandler()
#创建按钮并设置单击事件处理函数
axprev = plt.axes([0.81,0.05,0.1,0.075])
bprev =Button(axprev,'Stop')
bprev.on_clicked(callback.Stop)
axnext = plt.axes([0.7,0.05,0.1,0.075])
bnext =Button(axnext,'Start')
bnext.on_clicked(callback.Start)
plt.show()

二 运行结果

利用matplotlib实现根据实时数据动态更新图形

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